Python Developer

🏢 Summary: Senior AI Engineer role focused on building and deploying production-grade AI solutions using Python, FastAPI, Azure, Generative AI, RAG, and agentic frameworks in a hybrid work model. The position includes backend architecture, AI pipeline development, MLOps ownership, and mentoring responsibilities. 🗂️ Requirements: 6–10 years of software engineering experience, Strong AI/ML engineering background, Expertise in Python, Expertise in FastAPI, Experience with LLMs, Experience with RAG pipelines, Experience with vector databases, Hands-on experience with agentic AI frameworks, Production experience with Azure cloud services, Knowledge of MLOps, Experience with Docker, Experience with Kubernetes, Experience with CI/CD 📃 Skills: Python, FastAPI, Azure, LLMs, RAG, Pinecone, Milvus, LangChain, LangGraph, AutoGen, CrewAI, Docker, Kubernetes, CI/CD, MLOps, AKS 🏢 Description: Location: Wroclaw, Poland (Hybrid: 3 days/week in-office) Experience: 6–10 years About the Role We are looking for a Senior AI Engineer to design, develop, and deploy production-grade AI solutions using Python, FastAPI, and Azure, with a strong focus on Generative AI, LLMs, RAG, and agentic frameworks. Key Responsibilities Architect and implement scalable backend services with Python and FastAPI . Build and optimize RAG pipelines using vector databases (e.g., Pinecone, Milvus, Azure Cognitive Search). Develop autonomous agents using agentic AI frameworks (LangChain, LangGraph, AutoGen). Deploy and manage AI workloads on Azure (Azure ML, AKS, OpenAI Service). Own the full ML lifecycle: experimentation, versioning, CI/CD, and monitoring. Mentor junior engineers and drive technical best practices. Required Skills 6–10 years of software engineering experience, with strong focus on AI/ML. Expert in Python and FastAPI . Deep experience with LLMs , RAG , and vector databases . Hands-on experience with agentic frameworks (LangChain, CrewAI, etc.). Production experience with Azure cloud services. Strong understanding of MLOps, containerization (Docker/Kubernetes), and CI/CD.

🏢 Summary: B2B Software Engineer (Python – GenAI) role focused on building and deploying AI-driven applications using AWS and Large Language Models. The position involves developing backend services, APIs, and microservices while ensuring high standards of security, testing, and CI/CD within an Agile environment. Hybrid work model with regular collaboration in Scrum teams. 🗂️ Requirements: Strong Python backend development, Hands-on experience with AWS services (Bedrock, DynamoDB, OpenSearch, CloudWatch, Step Functions), Practical knowledge of Generative AI and LLM technologies, Experience building REST APIs, Experience developing microservices, Understanding of CI/CD pipelines in AWS, Knowledge of DevOps practices, Experience working in Agile/Scrum teams 📃 Skills: Python, AWS, Bedrock, DynamoDB, OpenSearch, CloudWatch, StepFunctions, LLM, GenAI, REST, Microservices, CICD, DevOps, Agile 🏢 Description: Location: hybrid model. For candidates based in Warsaw, Gdańsk , or nearby areas, we require office presence once per week . For candidates located in other regions, office visits are required once per month (for workshops and team meetings). Team Structure: Agile/Scrum teams Contract B2B Rates depending on the years of the experience: 4-7 yrs: 147 PLN/h 7-10 yrs: 164 PLN/h 10+ yrs: 178 PLN/h Software Engineer (Python – GenAI) role is to contribute to the development and deployment of AI-driven applications, focusing on leveraging modern cloud services and generative AI technologies to provide innovative solutions for the organization. Main Responsibilities: Creating, developing, and deploying AI-based applications using AWS services. Developing and optimizing Large Language Model (LLM) based solutions tailored to real-world business cases. Building and maintaining APIs and microservices to efficiently serve solutions to customers. Ensuring all AI solutions adhere to security, development, and governance standards. Writing and maintaining unit tests, ensuring robust test coverage, and enforcing best coding practices (clean code, maintainability, and performance optimization). Creating clear, concise technical documentation for developed components. Working in Agile/Scrum teams to deliver high-quality applications. Key Requirements: Fluency in English. Strong command of Python for backend development. Hands-on experience with AWS services, including Amazon Bedrock, DynamoDB, OpenSearch, CloudWatch, and Step Functions. Understanding of Generative AI and LLM technologies. Proven experience in developing and maintaining RESTful APIs and microservices. Solid understanding of CI/CD pipelines and DevOps best practices within the AWS environment. Ability to thrive in an Agile environment and work effectively with multidisciplinary teams. Nice to Have: Experience working with vector databases. Knowledge of prompt engineering. Experience working with Azure services, including Azure VM, Azure DevOps, Azure Blob Storage, Cosmos DB, Azure Functions, Azure AI Search, and others.

🏢 Summary: Backend Software Engineer role focused on building and extending an enterprise AI assistant platform using FastAPI and LLM integrations. The position involves designing async APIs, orchestrating AI agent workflows, managing document processing pipelines, and optimizing databases and background jobs. The role also covers observability, testing, and enforcing security best practices in a production environment. 🗂️ Requirements: 3+ years of experience with Python in production backend systems, Strong experience with FastAPI (async/await, dependency injection, middleware), Experience with SQLAlchemy or SQLModel and PostgreSQL, Experience with Redis for caching and task queues, Experience integrating LLMs via API (e.g., OpenAI SDK), Experience with pytest for automated testing, Experience with Docker for development and deployment, Understanding of async Python (asyncio, concurrent session management), Experience working with Git and PR-based workflows 📃 Skills: Python, FastAPI, SQLAlchemy, SQLModel, PostgreSQL, Redis, OpenAI, pytest, Docker, asyncio, LangChain, LangGraph, RQ, pgvector, Qdrant, OpenTelemetry, Prometheus, Grafana, OWASP, Git 🏢 Description: For Digital Hub Warsaw, we are looking for: Software Engineer (Backend) You’ll build and extend the backend of myGenAssist, an enterprise AI assistant platform. The backend is a FastAPI application that orchestrates LLM interactions, manages agent workflows with LangChain/LangGraph, handles document processing pipelines, and exposes tools via MCP (Model Context Protocol). Key Tasks & Responsibilities: Design and implement async APIs using FastAPI, following our patterns for session management, API versioning, and domain-driven structure. Build and evolve AI agent workflows using LangChain and LangGraph — tool integration, state persistence, multi-step reasoning. Design and optimize database schemas with SQLModel/SQLAlchemy and PostgreSQL, including migrations and vector search (pgvector, Qdrant). Build background job pipelines with RQ (Redis Queue) for document processing, knowledge base indexing, and long-running tasks. Implement observability using OpenTelemetry, Langfuse, Prometheus, and Grafana. Write tests using pytest with parallel execution, covering unit, integration, and RAG evaluation. Enforce code quality through reviews and adherence to security best practices (OWASP). Qualifications & Competencies (education, skills, experience): 3+ years with Python in production backend systems Strong FastAPI experience (async/await, dependency injection, middleware) SQLAlchemy or SQLModel with PostgreSQL Redis for caching and task queues Experience integrating LLMs via API (OpenAI SDK or similar) Testing with pytest Docker for development and deployment Understanding of async Python (asyncio, concurrent session management) Git and PR-based workflow Nice to Have LangChain / LangGraph for agent orchestration Vector databases (Qdrant, pgvector) and RAG patterns MCP (Model Context Protocol) Document processing pipelines (Docling, Unstructured) OpenTelemetry and distributed tracing Kubernetes basics (we run on EKS) AWS services (S3, Secrets Manager) OAuth2/JWT authentication Agile/Scrum experience What do We offer: A flexible, remote-hybrid work model Great workplace in a new modern office in Warsaw Career development, 360° Feedback & Mentoring programme Wide access to professional development tools, trainings, & conferences Company Bonus & Reward Structure VIP Medical Care Package (including Dental & Mental health) Holiday allowance (“Wczasy pod gruszą”) Life & Travel Insurance Pension plan Co-financed sport card - FitProfit Meals Subsidy in Office Budget for Home Office Setup & Maintenance Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs Tailored-made support in relocation to Warsaw when needed Please send your CV in English WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158

🏢 Summary: Hybrid Python AI Developer role focused on building AI-powered services and automation solutions using Large Language Models and agent-based workflows. The position involves developing RAG-based bots and assistants, implementing agentic workflows, and collaborating on high-quality AI frameworks. It offers the opportunity to work on advanced LLM solutions in a dynamic, innovation-driven environment. 🗂️ Requirements: Minimum 3 years of experience in software development with Python, Practical knowledge of LangChain and LangGraph, Experience with RAG, embeddings, vector search, LLM agents, agentic workflows, tool calling, At least 1 year of hands-on experience with LLM models, RAG, and AI agents in real projects, Proficiency with Git (branch management, rebase, cherry-pick, revert, squash), Familiarity with Jira, Confluence, Bitbucket, Competent command of Polish, Communicative level of English, Legal right to work in the European Union 📃 Skills: Python, LangChain, LangGraph, RAG, LLM, Embeddings, VectorSearch, Git, Jira, Confluence, Bitbucket, Azure, React, Streamlit, Databricks, CosmosDB, Redis, Grafana 🏢 Description: Unleash the future of AI by building innovative Large Language Model solutions that redefine automation and intelligence. Warszawa-based opportunity with hybrid work model (4 days remote, 1 day in the office). As a Python AI Developer , you will be working for our client, a leading innovator in AI technology. You will contribute to developing cutting-edge services and applications supporting automation processes, leveraging advanced LLM solutions and agent-based workflows. This role offers a chance to be at the forefront of AI innovation and accelerate your career growth in a dynamic environment. Your main responsibilities: Build AI-powered services and applications in Python to support automation initiatives. Develop bots and assistants based on Large Language Models, including RAG solutions and multi-step task agents. Implement agentic workflows: define roles, manage tools, and oversee execution processes. Work with internal and new AI frameworks, ensuring high quality and alignment with best practices. Collaborate with cross-functional teams to troubleshoot, analyze issues, and optimize solutions. Maintain adherence to development standards and contribute to continuous improvement initiatives. Document system designs and participate in architectural discussions. You're ideal for this role if you have: Minimum 3 years of experience in software development, particularly with Python. Practical knowledge of LangChain and LangGraph. Experience with RAG, embeddings, vector search, LLM agents, agentic workflows, and tool calling. At least 1 year of hands-on experience with LLM models, RAG, and AI agents in real projects. Proficiency with Git, including branch management and commit operations (rebase, cherry-pick, revert, squash). Familiarity with Jira, Confluence, Bitbucket. Strong problem-solving skills and ability to work independently in a collaborative environment. It is a strong plus if you have: Knowledge of Azure AI Stack (AI Foundry, Azure OpenAI, Azure AI Search). Experience with React, Streamlit, Databricks, Cosmos DB, Redis, or Grafana. Understanding of ML fundamentals and fine-tuning LLMs. Skills in high-level system architecture design and documentation. Language Required for the role: Polish – competent command. English – communicative level. Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data. Please be prepared for a live coding session during the interview process, where your technical skills will be thoroughly evaluated.

🏢 Summary: Full-time remote B2B role for a Software Engineer focused on Python backend development and implementation of Generative AI solutions for internal products. The position centers on integrating LLM-based models via APIs, building enterprise-grade microservices, and collaborating with Data Scientists in a distributed Agile team. Work involves productionizing AI models within the Azure ecosystem, with emphasis on structured, secure, and high-quality implementations. 🗂️ Requirements: Strong experience in Python backend development, Experience implementing LLM solutions via APIs, Understanding of Generative AI architectures and concepts, Experience in enterprise-scale environments, Experience building and consuming APIs, Ability to work in regulated or structured environments, English proficiency at C1 or strong B2 level 📃 Skills: Python, LLM, GenAI, APIs, RAG, Azure, AzureOpenAI, Microservices, REST, VectorDB 🏢 Description: PROJECT DETAILS: Workload: Full-time Model of working: 100% Remote Contract: B2B, long-term Rate: up to 145 PLN/h nett + VAT About the Role We are looking for a Software Engineer to work on Generative AI–based internal products developed in the company, supporting internal employees. You will join a distributed, fully remote team working on one of two AI-related business streams. The focus of the role is on Python backend development combined with implementation of Generative AI solutions , closely collaborating with Data Scientists who prepare the models. The solutions you build will be used internally within the organization. Responsibilities Design, develop, and deploy backend solutions in Python Implement Generative AI models prepared by Data Scientists into production-ready applications Wrap AI models with application logic and expose them as ready-to-use internal solutions Work mainly with API-based integrations , including LLM usage via APIs Implement and support LLM-based solutions (classic LLM usage through APIs) Work with Retrieval-Augmented Generation (RAG) concepts, including knowledge bases for language models Develop and maintain APIs and microservices Ensure solutions meet enterprise-level quality, security, and governance standards Write clean, maintainable code with appropriate test coverage Collaborate within Agile teams (PM, PO, developers, QA, architects) Participate in the full lifecycle: Business analysis Development Hypercare Further development Technology & Architecture Context Backend and GenAI work is fully Python-based GenAI models are consumed and exposed via APIs Azure OpenAI is used as part of the Azure ecosystem Strong emphasis on correct and well-structured implementation of AI models , not on model training Approximate work split: 80% backend Python development 20% GenAI/LLM solution implementation Key Requirements Strong experience in Python backend development Experience implementing solutions using LLMs via API Understanding of Generative AI architectures and basic GenAI concepts Experience with enterprise-scale environments Experience in building and consuming APIs Ability to work in regulated or structured organizational environments English: C1 or strong B2 Nice to Have Experience in regulated industries Familiarity with RAG concepts (vector databases / knowledge bases) Experience working in large enterprise organizations

🏢 Summary: Full-time remote B2B role for a Software Engineer focused on Python backend development and implementation of Generative AI solutions for internal enterprise products. The position involves integrating LLM-based models via APIs, building microservices, and deploying production-ready AI applications in an Azure-based environment. Work is primarily backend development with partial focus on GenAI/LLM integration in a distributed Agile team. 🗂️ Requirements: Strong experience in Python backend development, Experience implementing LLM solutions via APIs, Understanding of Generative AI architectures and concepts, Experience building and consuming APIs, Experience with enterprise-scale systems, Ability to work in regulated or structured environments, English proficiency at B2 or higher 📃 Skills: Python, GenAI, LLM, API, Azure, AzureOpenAI, RAG, Microservices, REST, VectorDB, Git, Agile 🏢 Description: PROJECT DETAILS: Workload: Full-time Model of working: 100% Remote Contract: B2B, long-term Rate: up to 145 PLN/h nett + VAT About the Role We are looking for a Software Engineer to work on Generative AI–based internal products developed in the company, supporting internal employees. You will join a distributed, fully remote team working on one of two AI-related business streams. The focus of the role is on Python backend development combined with implementation of Generative AI solutions , closely collaborating with Data Scientists who prepare the models. The solutions you build will be used internally within the organization. Responsibilities Design, develop, and deploy backend solutions in Python Implement Generative AI models prepared by Data Scientists into production-ready applications Wrap AI models with application logic and expose them as ready-to-use internal solutions Work mainly with API-based integrations , including LLM usage via APIs Implement and support LLM-based solutions (classic LLM usage through APIs) Work with Retrieval-Augmented Generation (RAG) concepts, including knowledge bases for language models Develop and maintain APIs and microservices Ensure solutions meet enterprise-level quality, security, and governance standards Write clean, maintainable code with appropriate test coverage Collaborate within Agile teams (PM, PO, developers, QA, architects) Participate in the full lifecycle: Business analysis Development Hypercare Further development Technology & Architecture Context Backend and GenAI work is fully Python-based GenAI models are consumed and exposed via APIs Azure OpenAI is used as part of the Azure ecosystem Strong emphasis on correct and well-structured implementation of AI models , not on model training Approximate work split: 80% backend Python development 20% GenAI/LLM solution implementation Key Requirements Strong experience in Python backend development Experience implementing solutions using LLMs via API Understanding of Generative AI architectures and basic GenAI concepts Experience with enterprise-scale environments Experience in building and consuming APIs Ability to work in regulated or structured organizational environments English: C1 or strong B2 Nice to Have Experience in regulated industries Familiarity with RAG concepts (vector databases / knowledge bases) Experience working in large enterprise organizations

🏢 Summary: Lead AI Software Developer role focused on architecting and scaling AI-powered applications, backend systems, and multi-agent workflows across cloud and enterprise environments. The position involves designing secure integrations, optimizing LLM-based solutions, and leading technical delivery and best practices. It combines hands-on AI development with backend architecture and technical leadership. 🗂️ Requirements: Degree in Computer Science, AI, Data Science or related field, 8+ years of software engineering experience, 5+ years of Python backend development in production, Experience building and scaling Python applications, Hands-on experience with AI Agents, RAG and MCP, Experience with AWS or Azure cloud platforms, Experience with storage systems and databases, Knowledge of containerization and Kubernetes, Experience with API integrations and enterprise system connectivity, Leadership and mentoring experience 📃 Skills: Python, AWS, Azure, Kubernetes, RAG, MCP, APIs, Cloud, Databases, Containerization, AI, LLM 🏢 Description: We are seeking an experienced Lead AI Software Developer to design and scale AI-powered applications and integrations. In this role, you will architect backend systems, lead AI agent development, and ensure secure, scalable integration across cloud platforms and enterprise systems. Key Responsibilities Design and maintain middleware, APIs, and connectors integrating AI agents with enterprise systems Architect scalable backend services and cloud-based solutions (AWS/Azure) Develop and optimize multi-agent workflows and adaptive decision logic Fine-tune prompts and LLM-based solutions for domain-specific use cases Lead code reviews, mentor developers, and define development best practices Drive complex API integrations with internal and external AI platforms (incl. MCP servers) Remove technical roadblocks and ensure timely delivery Collaborate with AI, Data, and Platform teams to optimize automation architectures Maintain technical documentation and promote continuous improvement Requirements Degree in Computer Science, AI, Data Science, or similar field 8+ years of software engineering experience, including 5+ years of Python backend development (production) Strong experience building and scaling Python applications Hands-on experience with AI technologies (AI Agents, RAG, MCP) Experience with cloud platforms (AWS or Azure), storage, databases, and AI services Knowledge of containerization and Kubernetes Experience with API integrations and enterprise system connectivity Strong leadership and mentoring experience Excellent communication skills; fluent in Polish and English (min. B2); German is a plus Willingness to travel internationally (~10%) Nice to have: Experience with LangChain, LangGraph, multi-agent systems, prompt engineering, and LLM fine-tuning. What We Offer Work in a global and innovative technology environment Direct impact on enterprise AI and automation solutions Professional development and access to training programs Hybrid work model with flexible hours (central Wroclaw office) Competitive benefits package, cafeteria system, CSR initiatives, and employee clubs

🏢 Summary: Backend Developer role in the Telco industry focused on building and maintaining AI-driven systems using Python and modern ML/NLP technologies. The position involves developing scalable backend services, integrating message queues and databases, and contributing to LLM-based and NLP solutions in a cloud environment. The role covers the full lifecycle from design and implementation to testing, containerization, and deployment. 🗂️ Requirements: Minimum 5 years experience as Backend Developer, Experience in at least 3 backend projects using Python, Proficiency in Python with OOP, Experience with FastAPI, Experience with pytest or unittest, Experience with Docker and Dockerfiles, Experience with Unix/Linux and Windows, Experience with Git, Experience with message queues (RabbitMQ or PubSub), Experience with MongoDB, Experience with processes, threads or asyncio, Experience with PyTorch or TensorFlow or Transformers, Experience with spaCy or Stanza, Experience building or training NLP models, Experience with LangChain or LlamaIndex, Experience with Google Cloud, Experience with Apache Airflow, Ability to create UML documentation 📃 Skills: Python, FastAPI, pytest, unittest, Docker, Unix, Linux, Windows, Git, RabbitMQ, PubSub, MongoDB, asyncio, PyTorch, TensorFlow, Transformers, spaCy, Stanza, LangChain, LlamaIndex, GCP, Airflow, UML 🏢 Description: This is the job Within the Telco industry in Warsaw, we are actively seeking a professional to strengthen our team dedicated to Artificial Intelligence Systems Department This is you Proficiency in Python, including its use for developing software in an object‑oriented approach Creating tests using pytest/unittest frameworks Ability to containerize applications, create Dockerfiles, and work with Docker Comfortable working in Unix/Linux and Windows environments Ability to use UML notation and create documentation for developed software Confident use of Git Polish - Native EXPERIENCE: Minimum 5 years of experience in production projects as a Backend Developer Participation in at least 3 projects involving backend development using Python Practical experience with at least five of the following: Working with message‑queue systems such as RabbitMQ / PubSub Working with document‑oriented databases such as MongoDB (data definition/usage) Using processes/threads/asyncio FastAPI framework Knowledge of deep learning tools such as PyTorch / TensorFlow / Transformers Knowledge of specialized NLP tools such as spaCy / Stanza Building/training ML models in the NLP domain Knowledge of LangChain / LlamaIndex for building LLM‑based applications Ability to work in Google Cloud Knowledge of orchestration tools, e.g., Apache Airflow SOFT SKILLS: Strong communication skills, including the ability to discuss technical aspects with individuals with limited technical background, enabling effective analysis of business processes or user requirements and proposing solutions Ability to take responsibility for the full lifecycle of the developed component Proactive approach to problem‑solving This is your role Development and maintenance of the backend in Python (OOP, FastAPI) Creating automated tests (pytest / unittest) Application containerization (Docker, Dockerfile) Working in Unix/Linux and Windows environments Designing and updating technical documentation (UML) Working with Git (branching, code review) Integrating with message‑queue systems (RabbitMQ / PubSub) Working with document‑oriented databases (MongoDB) Implementing solutions based on processes, threads, or asyncio Collaborating on building ML/NLP models (PyTorch / TensorFlow / Transformers, spaCy / Stanza) Building LLM‑based applications (LangChain / LlamaIndex) Working in the Google Cloud environment Creating and maintaining data pipelines (Apache Airflow) Participating in requirements analysis and solution design Taking responsibility for the quality and stability of backend components Collaborating with the team and communicating with non‑technical stakeholders What awaits you at Avenga? Private medical care Cafeteria benefits program Private isurance

🏢 Summary: Backend Engineer role focused on building production systems for AI agents, including backend services, APIs, and data pipelines for enterprise customers. The position involves designing reliable distributed systems, maintaining production services, and collaborating closely with cross-functional teams in a fully on-site Warsaw office environment. The company offers a modern AI-focused tech stack, B2B contract, stock options, and opportunities to contribute to open-source projects. 🗂️ Requirements: 3–5 years of experience building backend production systems, Strong Python skills, Understanding of distributed systems, Experience with AWS, GCP, or Azure, Knowledge of SQL and NoSQL databases, Database design experience, Security-focused approach to system design, Ability to manage projects from idea to production, Strong written and spoken communication skills, Experience using AI tools in software development, Ability to work fully on-site in Warsaw 📃 Skills: Python, AWS, GCP, Azure, SQL, NoSQL, AI, TypeScript, APIs, GitHub, Copilot, Codex, Claude 🏢 Description: Please note: This role requires working from our office in Warsaw city centre 5 days a week . This is a fully on-site position , and remote or hybrid work is not available . About us We believe that businesses are moving toward AI-powered work, and we are building a platform for this future. Many AI agents cannot handle complex business tasks. We created a platform that organizes company policies, workflows, and business knowledge into one AI data model. This helps AI agents make accurate decisions and deliver reliable results at scale. We already work with well-known enterprise customers such as Glovo, Nespresso, and HelloFresh. Our platform supports thousands of users and handles real production data. Customers trust us with important business knowledge because we provide a secure and reliable solution with SOC2, HIPAA-ready security practices, and strong integrations. Job description We are looking for a backend engineer with several years of experience who wants to take responsibility for real systems, not only complete assigned tasks. You will solve backend challenges, choose the best technical solutions, deliver new features, and support them in production. We are looking for someone with good technical skills, clear communication, and a desire to build systems that are simple, reliable, and easy to improve. You will help build production systems for AI agents, working on real problems for customers who already use our platform. The position is based in Warsaw and requires working from the office. Responsibilities Build backend services, APIs, data pipelines, and background processes for production systems. Turn business requirements into technical solutions and implementation plans. Monitor and maintain services after release, improving reliability, performance, and system monitoring. Design service interfaces and data models that fit well into the overall system. Create technical documentation and diagrams when they help the team. Work closely with product managers, frontend engineers, and platform engineers. Improve engineering processes using AI tools, automation, and better workflows. Help maintain high code quality through code reviews and design reviews. Requirements Around 3–5 years of experience building backend production systems. Strong Python skills and the ability to write clean and maintainable code. Good understanding of distributed systems, including concurrency, failures, data consistency, asynchronous processing, and service communication. Experience with cloud platforms such as AWS, GCP, or Azure, and knowledge of SQL, NoSQL, and database design. A security-focused approach when working with sensitive data and system design. Ability to manage projects from idea to production with increasing responsibility. Good written and spoken communication skills, with the ability to explain technical decisions clearly. Experience using AI tools as part of your daily software development work. Nice to have Experience with AI agents, orchestration, retrieval systems, tool calling, or LLM-based infrastructure. Knowledge of TypeScript or willingness to work across the full technology stack. Experience taking on more responsibility and learning quickly. What we offer B2B contract and company stock options. MacBook Pro. Modern technology stack and the opportunity to contribute to open-source projects. An AI-focused development environment with tools such as Claude Code, OpenAI Codex, and GitHub Copilot. Our values Our leadership team combines strong experience in AI, knowledge management, and enterprise SaaS. We have received more than $60 million in funding and have been recognized by Gartner as a Cool Vendor. Our work is guided by these values: Quality – We care about excellent work and high standards in everything we build. Momentum – We take initiative, share ideas, and keep moving forward. Accountability – We take responsibility for our work and give honest, respectful feedback. Hard work – We believe success comes from teamwork, dedication, and consistent effort. Learning agility – We stay curious, learn from mistakes, and continue improving. Adapt and thrive – We welcome change and see challenges as opportunities to grow. Win together – We work as one team, communicate openly, and support our shared goals.

🏢 Summary: Long-term remote B2B opportunity for an experienced Fullstack Software Developer to build scalable React/Next.js and Python (FastAPI) applications enhanced with AI/LLM integrations. The role focuses on modern frontend architecture, async backend services, real-time systems, and production-grade AI workflows. You will design end-to-end architectures and deliver secure, high-performance solutions in a distributed engineering team. 🗂️ Requirements: 5+ years experience as Fullstack or Software Engineer, Strong React and Next.js experience in production, Strong TypeScript proficiency, Strong Python experience with async programming, Experience with FastAPI, Experience designing scalable distributed systems and APIs, Knowledge of frontend architecture, state management, performance optimization, Experience with automated testing frameworks, Experience with REST, GraphQL, WebSockets, Hands-on experience integrating AI/LLM services (OpenAI, Azure AI or similar), Experience with LangChain or similar agent frameworks, Strong system design and software architecture knowledge, Experience working in Agile environments, Fluency in English, EU citizenship and residence in Poland 📃 Skills: React, Next.js, TypeScript, Python, FastAPI, Tailwind, Playwright, Vitest, React, Testing, Library, pytest, REST, GraphQL, WebSockets, OpenAI, Azure, LangChain, AI, LLM 🏢 Description: In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced Software Developer (React + Python + AI) to join an innovative engineering remote team working on modern full-stack applications enhanced with AI capabilities. In this role, you will contribute to designing scalable systems, building high-performance web applications, and integrating advanced AI/LLM solutions into production environments. Project information: Type of project: IT services Office location: Wrocław, Poland Work mode: Remote from Poland Budget: 130-160 PLN net/ h- b2b Project length: Long-term Only candidates with citizenship in the European Union and residence in Poland Start date: ASAP (depending on candidate’s availability) Project scope: Design and develop modern web applications using React / Next.js and TypeScript Build reusable, scalable, and accessible UI components using Tailwind and modern design systems Drive frontend architecture decisions including state management, modularization, and performance optimization Ensure high-quality frontend delivery with strong test coverage (Playwright, Vitest, React Testing Library) Design and develop backend services using Python (async) and FastAPI Build scalable REST and event-driven APIs as well as real-time systems Implement WebSockets or similar technologies for real-time communication Develop unit, integration, and end-to-end testing strategies for backend systems Design and implement end-to-end system architecture in collaboration with cross-functional teams Integrate services using REST APIs, GraphQL, and WebSockets Participate in performance tuning, scalability improvements, and system optimization Integrate AI/LLM-based solutions using OpenAI / Azure AI services Develop AI workflows using frameworks such as LangChain or similar agent-based tools Apply prompt engineering techniques and optimize model interactions for production use cases Orchestrate multiple AI models and services to deliver real-world intelligent features Apply security and privacy best practices across the full stack Ensure adherence to secure coding standards and maintain high code quality through code reviews and automated testing Collaborate closely with engineering teams to ensure consistency, reliability, and scalability of solutions Competence demands: Minimum 5+ years of experience as a Fullstack or Software Engineer Strong experience with React / Next.js and TypeScript in production-grade applications Strong proficiency in Python (async programming) and FastAPI Experience designing scalable distributed systems and APIs Solid understanding of frontend architecture, performance optimization, and state management Experience with testing frameworks (Playwright, Vitest, React Testing Library, pytest or similar) Familiarity with REST, GraphQL, and WebSockets Hands-on experience integrating AI/LLM services (OpenAI, Azure AI, or similar) Knowledge of agent frameworks such as LangChain or similar tools Strong understanding of system design principles and software architecture Experience working in Agile environments and cross-functional teams Strong communication skills and ability to work in a distributed team Fluency in English (written and spoken) We offer: Remote working model Dynamic and innovation-driven engineering environment Full-time job agreement based on b2b Private medical care with dental care (covering 70% of costs) Multisport card (also for an accompanying person) Life insurance Recruitment process: Introductory call Technical interview Final decision